Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing

Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing

Terrain traversability is critical for developing Go/No-Go maps for ground vehicles, which significantly impact a mission’s success. To predict the mobility of terrain, one must understand the soil characteristics. In-situ measurements performed in the field are the current method of collecting this...

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Bibliographic Details
Main Authors: Jordan Ewing, Thomas Oommen, Jobin Thomas, Anush Kasaragod, Richard Dobson, Colin Brooks, Paramsothy Jayakumar, Michael Cole, Tulga Ersal
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
machine learning
deep learning
remote sensing
hyperspectral imaging
thermal imaging
terramechanics
Online Access:https://www.mdpi.com/1424-8220/23/12/5505

Internet

https://www.mdpi.com/1424-8220/23/12/5505

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